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usisoftware-org/JailbreakBench

published by @usisoftware-org

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
666
Last 30 days
34
Likes
2
Size
47 KB
Created on HF
2025-03-06
Age
1 years ago

Tags

size_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: prompt
    dtype: string
  • name: target
    dtype: string
  • name: behavior
    dtype: string
  • name: category
    dtype: string
  • name: source
    dtype: string
  • name: subset
    dtype: string
  • name: original_prompt
    dtype: string
    splits:
  • name: train
    num_bytes: 159074
    num_examples: 200
    download_size: 44759
    dataset_size: 159074
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 12 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  12. 2025-03-06initial commit355aa1c0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 2 threads · 2 open · 2 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2025-03-09PRLibrarian Bot: Add language metadata for datasetopen1 💬#2
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  2. 2025-03-07[bot] Conversion to Parquetopen1 💬#1
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Read further

Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("usisoftware-org/JailbreakBench")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="usisoftware-org/JailbreakBench", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/usisoftware-org/JailbreakBench
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